Personalization of a biophysically realistic computational model of the brain activity using EEG and MRI data: The first step towards a new generation of virtual experiments on personalized human brain models

Abstract

In the present study we present a new modeling approach of a whole-brain network model based on a combination DTI-driven anatomical connectivity of the brain and Jansen and Rit neural mass model. We also propose an approach to personalize such brain network model with subject specific EEG and MRI data. We study the structural and functional relationship and the inter- and intra-subject variability for two healthy patients with different conditions, eyes open and eyes closed resting-state EEG. The personalization is based on a comparison of functional connectivity estimates between simulated and real data to fit the parameters of the model. The vision of this study is to generate a proof of concept that which such models we can personalize virtual brains models in order to customize treatment for neurological diseases.